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Biology subjects

Wallace, E.

Publications and source records attributed to Wallace, E..

15 recordsLinked to original sources

Absence of a spindle position checkpoint in the fungal pathogen Cryptococcus neoformans

To maintain genome stability, it is crucial that cells do not initiate cytokinesis until chromosomes have been properly segregated. In the model budding yeast Saccharomyces cerevisiae, a surveillance mechanism called the Spindle Position Checkpoint (SPoC) ensures this coordination by regulating the Mitotic Exit Network (MEN) to couple exit from mitosis and cytokinesis to spindle position. The MEN is conserved in Ascomycota where the orthologous pathway in the fission yeast Schizosaccharomyces pombe, the Septation Initiation Network (SIN), regulates cytokinesis in response to defects in spindle elongation. Here, we show that the MEN/SIN pathway is conserved in the basidiomycetous budding yeast and human pathogen, Cryptococcus neoformans, and controls cytokinesis. However, spindle position or elongation does not regulate pathway activation or cell cycle progression in C. neoformans. In essence, there appears to be no SPoC in this organism to delay cytokinesis upon defects in mitosis. We speculate that while increasing the risk of genome instability, the lack of a SPoC might facilitate C. neoformans's ability to change ploidy in the host.

cell biology↗

The fungal RNA-binding protein Ssd1 represses Sun4 protein abundance through recognition of 5' UTR structural and sequence elements

Regulation of protein abundance allows fungi to adapt to changing environments, regulate their growth and morphology, and react to external stresses. Ssd1 is a fungal RNA binding protein that binds mRNAs encoding cell wall remodelling proteins and regulates cell wall biogenesis. Ssd1 binding sites (SBSs) have been described by computational and biochemical analyses, but how Ssd1 recognises these sites and how that relates to regulation of protein abundance was less clear. Here, a co-crystal structure of Saccharomyces cerevisiae Ssd1 with an SBS reveals core determinants of recognition, while fluorescent reporters of Sun4, an Ssd1-regulated cell wall protein, were used to characterise structure- guided mutations. We find that Ssd1 has an extensive RNA binding site that recognises two elements of the SBS: an upstream element that forms a structural motif, and an element containing tandem CNYU sequences that engages Ssd1 in base-specific recognition. Mutations to the Ssd1 RNA binding surface prevent Ssd1-dependent repression of fluorescent reporters and show strong phenotypes in assays of cell wall stress resistance and genetic interactions with the Cbk1 kinase. Loss of repression is also observed if both SUN4 SBSs are altered. However, the presence of one SBS in the SUN4 5' untranslated region is sufficient to confer Ssd1-dependent suppression of protein abundance. Our work confirms that RNA binding is a core function of Ssd1 and is likely to inform functional analyses in fungi beyond S. cerevisiae, where Ssd1 orthologs have been identified as virulence factors in several fungal pathogens.

molecular biology↗

Extracellular Matrix Proteomic Signatures Associate with Disease-Free Survival in Later Events of Ductal Carcinoma In Situ or Invasive Breast Cancer

BackgroundDuctal carcinoma in situ (DCIS) is a noninvasive breast lesion with variable risk of progression to invasive breast cancer (IBC). Current transcription and cell marker investigations suggest ECM decreases in later events but are limited in details of ECM proteomic composition, including post-translational modifications. We investigated whether the extracellular matrix (ECM) proteome alters with later breast events of DCIS or IBC. MethodsECM-targeted mass spectrometry imaging and liquid chromatography-tandem mass spectrometry (LC-MS/MS) were applied to ten tissue microarrays from the Resource of Archival Human Breast Tissue cohort (RAHBT). Primary DCIS specimens (n=136) were analyzed in relation to later events of DCIS (n=40) or IBC(n=30), with a mean follow-up of 192.1 months 95% CI [179.1,205.1]. Statistical modeling, survival analyses, and exploratory machine learning approaches were used to identify ECM peptide signatures associated with later events. ResultsDistinct ECM peptide profiles were associated with later events of DCIS or IBC. Fifteen peptides derived from fibrillar collagens (COL1A1, COL1A2, COL3A1) and elastin, showed significantly reduced abundance in patients who developed IBC. Lower expression of specific collagen peptides associated with overall 19.9% 95% CI [17.92, 21.81] decreased disease-free survival for IBC. Lower expression of these peptides was significantly associated with reduced disease-free survival (age-adjusted hazard ratio [HR] = 2.45, 95% CI: 2.33-2.57; P < 0.05). Patient-matched samples of primary DCIS, later DCIS, and later invasive breast cancer further demonstrated reduction in ECM peptide detection. Exploratory predictive modeling from patient-matched samples achieved high performance (AUROC >0.98, accuracy >93%) in distinguishing primary from later events. Following prior work in the RAHBT cohort, reduction of certain collagen peptides was also observed in primary DCIS samples from higher risk patient groups. ConclusionsECM proteomic remodeling, particularly decreases of specific collagen domains, is strongly associated with later events of DCIS and IBC. These findings highlight ECM proteome as a critical regulator of breast cancer emergence with potential as a prognosticator of risk stratification to guide clinical management of DCIS.

pathology↗

Characterization of Electrophysiological and Transcriptomic Alterations in Patient-Derived Neurons from CHAMP1 Syndrome

Mutations in chromosome alignment maintaining phosphoprotein 1 (CHAMP1) have been linked to neurodevelopmental disorders characterized by intellectual disability, developmental delay, and autism spectrum disorder. However, the cellular and electrophysiological mechanisms by which CHAMP1 mutations disrupt human neuronal development remain poorly understood. In the present study, we used patient-derived induced pluripotent stem cells (iPSCs) carrying two pathogenic CHAMP1 mutations and generated neural progenitor cells (NPCs) and excitatory neurons to investigate the effects of each mutation on neuronal maturation and function, DNA repair, and gene expression. Proliferative capacity declines with CHAMP1 dosage, while DNA repair dysfunction is allele-specific. Whole-cell patch-clamp electrophysiology revealed that CHAMP1 mutant neurons exhibit significant alterations in intrinsic membrane properties during early developmental stages, including depolarized resting membrane potential, reduced action potential firing, and impaired waveform kinetics. These functional deficits were accompanied by reduced sodium and potassium current densities, suggesting impaired ion channel accumulation during neuronal maturation. Furthermore, recordings of spontaneous excitatory postsynaptic currents indicated altered synaptic activity and reduced proportions of synaptically active neurons. Morphological analyses showed that CHAMP1-deficient neurons exhibit impaired neurite outgrowth and branching, supporting a defect in neuronal maturation. Single-nucleus transcriptomic profiling further revealed delayed developmental trajectories and mutation-specific dysregulation of synaptic gene programs enriched for autism, ADHD, and epilepsy risk genes. Together, these findings demonstrate that CHAMP1 mutations disrupt multiple aspects of neuronal development, including homologous recombination (HR) dysfunction in NPCs, membrane excitability, ion channel function, and synaptic connectivity. Our results provide insights into the neurobiological consequences of CHAMP1 mutations and establish patient-derived neurons as a platform to investigate cellular pathophysiology and potential therapeutic strategies for CHAMP1-associated neurodevelopmental disorders.

neuroscience↗

Protein secretion routes in fungi are mostly determined by the length of the hydrophobic helix in the signal peptide

Secreted proteins are translocated across membranes through multiple routes. In eukaryotes, secreted proteins with N-terminal signal sequences can use either the signal recognition particle (SRP) or the alternative Sec63 translocon to cross the endoplasmic reticulum membrane. Large-scale experiments on the substrates of these pathways are primarily from the model yeast Saccharomyces cerevisiae, but less is known about conservation of translocation pathways. Here we take a computational approach to analyse secretion signals across the fungi. Computational predictions by the Phobius model robustly separate known SRP-dependent from Sec63-dependent proteins in S. cerevisiae. Prior work suggested that this separation is driven by the compound hydropathy of the signal peptides hydrophobic helix, i.e., its length multiplied by maximum hydropathy. Instead, we find that the length of the hydrophobic helix is the major discriminator in native proteins: 8-13 amino acids for Sec63-dependent proteins and 16-27 amino acids for SRP-dependent proteins. Secreted proteins in diverse fungal species also separate into distinct populations by Phobius predictions and by the length of the hydrophobic helix. Our analysis across fungi shows that distinct functional groups of proteins, including fungal cell wall proteins and extracellular proteins, have cleaved signal peptides with short hydrophobic helices, similarly to Sec63-dependent proteins in S. cerevisiae. Our results suggest that the Sec63 translocon is critical for cell wall biogenesis and protein secretion in fungi, including secretion of major virulence factors in fungal pathogens of plants and animals. Author SummaryFungal cells have their "stomachs on the outside" - they secrete proteins to the environment that act as enzymes that digest macromolecules and importers of nutrients back across the cell membrane. For fungi that cause infections, the environment is the infected host animal, plant, or other fungus. Fungal cells are also protected by a cell wall, built by proteins that are secreted across the cell membrane and other proteins that use the cells secretory system and are then retained in the membrane. These secreted proteins are translocated across membranes by cellular machinery called translocons, and different secreted proteins use different translocons. Detailed studies of translocons in brewers yeast (Saccharomyces cerevisiae) identified the features in secreted proteins that make the protein use one translocon compared to another. Specifically, there is a helical structure near the start of secreted proteins, and current understanding is that the hydrophobicity of this helix directs the protein through the matched transposon. Here, we show that the length of the hydrophobic helix, not necessarily its maximum hydrophobicity, matters most in fungal cells: shorter helices using a translocon including the Sec63 component and longer helices using a translocon involving the "Signal Recognition Particle". Because these translocons differ between yeast and animals, and even differ across the wide diversity of fungi, we next asked if the hydrophobic helices that direct secretion have similar properties in diverse fungi including pathogens of humans, frogs, and plants. Indeed, our computational predictions separate these these helices into short and long helix groups across fungi. The conservation of short helices in cleaved signal peptides across fungi is consistent with their using the Sec63 translocon and not the Signal Recognition Particle, which merits further investigation. Secreted proteins with cleaved signal peptides, that likely use the Sec63 translocon, include cell wall proteins, digestive enzymes, and "effectors" that manipulate the infected host to promote fungal infections.

molecular biology↗

Comprehensive mapping of the 5' and 3' untranslated regions of Aspergillus fumigatus reveals new insights into gene regulation

In the twenty years since the first genome sequencing of Aspergillus fumigatus, the field has seen an explosion in both the number of sequenced genomes and our molecular understanding of this ubiquitous human fungal pathogen. Despite an improved knowledge of the A. fumigatus genome, we still know little about the transcriptome, with key regulatory sequences like the untranslated regions of mRNA based only on in silico predictions and bulk-RNA-seq. Here, we provide an improved description of 5' and 3' untranslated regions of A. fumigatus poly(A)-enriched RNA through experimental mapping of transcription start sites and polyadenylation sites using 5' and 3' End-Seq. We assigned high-quality 5' ends to 2,747 genes (average length 126 nt), 3' ends to 7,079 genes (average length 268 nt), and improved our understanding of the regulatory landscape of A. fumigatus gene expression. We leveraged the refined 5' UTRs to identify upstream open reading frames and binding sites for important RNA binding proteins like the translational regulator Ssd1 and the 3' UTRs to define binding sites for PUF proteins known to contribute to mRNA localization and regulation. Although a single isoform typically dominated expression, we observed 148 instances of alternative start sites and 1,675 alternative stop sites. Interestingly, we detected multiple examples of premature transcriptional termination, including the first evidence for promoter-proximal premature transcriptional termination in a member of the Eurotiomycetes. Ultimately, we provide a resource to the Aspergillus community and an accurate starting point for unravelling the complexities of gene regulation in an important human pathogen.

microbiology↗

Neural networks built from enzymatic reactions can operate as linear and nonlinear classifiers

The engineering of molecular programs capable of processing patterns of multi-input biomarkers holds great potential in applications ranging from in vitro diagnostics (e.g., viral detection, including COVID-19) to therapeutic interventions (e.g., discriminating cancer cells from normal cells). For this reason, mechanisms to design molecular networks for pattern recognition are highly sought after. In this work, we explore how enzymatic networks can be used for both linear and nonlinear classification tasks. By leveraging steady-state analysis and showing global stability, we demonstrate that these networks can function as molecular perceptrons, fundamental units of artificial neural networks--capable of processing multiple inputs associated with positive and negative weights to achieve linear classification. Furthermore, by composing orthogonal enzymatic reactions, we show that multi-layer networks can be constructed to achieve nonlinear classification.

synthetic biology↗

A trade-off between proliferation and defense in the fungal pathogen Cryptococcus at alkaline pH is controlled by the transcription factor GAT201

Cryptococcus is a fungal pathogen whose virulence relies on proliferation in and dissemination to host sites, and on synthesis of a defensive yet metabolically costly polysaccharide capsule. Regulatory pathways required for Cryptococcus virulence include a GATA-like transcription factor, Gat201, that regulates Cryptococcal virulence in both capsule-dependent and capsule-independent ways. Here we show that Gat201 is part of a negative regulatory pathway that limits fungal survival at alkaline pH. RNA-seq analysis found strong induction of GAT201 expression within minutes of transfer to RPMI media at alkaline pH. Microscopy, growth curves, and colony forming unit assays show that in RPMI at alkaline pH wild-type Cryptococcus neoformans yeast cells produce capsule but do not bud or maintain viability, while gat201{Delta} cells make buds and maintain viability, yet fail to produce capsule. GAT201 is required for transcriptional upregulation of a specific set of genes, the majority of which are direct Gat201 targets. Evolutionary analysis shows that Gat201 is in a subfamily of GATA-like transcription factors that is conserved within pathogenic fungi but absent in model yeasts. This work identifies the Gat201 pathway as controlling a trade-off between proliferation and production of defensive capsule. The assays established here will allow characterisation of the mechanisms of action of the Gat201 pathway. Together, our findings urge improved understanding of the regulation of proliferation as a driver of fungal pathogenesis. Author SummaryMicro-organisms face trade-offs in adapting to their environments. For example, pathogens adapting to host niches must balance investing in proliferation - reproduction and growth - against investing in defense against the host immune system. Cryptococcus neoformans is an encapsulated fungal pathogen that can infect human airways and, in immunocompromised people, can move to the brain to cause life-threatening meningitis. It is well appreciated that fungal persistence in these sites depends on production of a sugar capsule that surrounds the cell, hiding it from host detection. However, in both the lung and brain, fungal proliferation through budding is also a major driver of pathogenesis: both cryptococcal pneumonia and meningitis are characterised by high yeast burden. This presents a trade-off between production of a metabolically costly capsule and cellular proliferation. The regulators of Cryptococcus proliferation are poorly understood, as they are distinct from other model yeasts at the level of cell cycle and morphogenesis. In this work, we study this trade off growing Cryptococcus under conditions that approximate the alkaline surface of human airways, and that restrict fungal growth. We identify a GATA-like transcription factor, Gat201, and its target, Gat204, that positively regulate capsule production and negatively regulate proliferation. The GAT201 pathway is conserved within pathogenic fungi but lost in other model yeasts. Together our findings reveal how a fungal pathogen regulates the balance between defense and proliferation and highlight the need for improved understanding of proliferation in non-model systems.

microbiology↗

mps1 and mad mutations reduce Cryptococcus neoformans titan cell viability

Cryptococcus neoformans is an opportunistic, human fungal pathogen which undergoes fascinating switches in cell cycle control and ploidy when it encounters stressful environments such as the human lung. Here we carry out a mechanistic analysis of the spindle assembly checkpoint (SAC) which regulates the metaphase to anaphase transition, focusing on Mps1 kinase and the downstream checkpoint components Mad1 and Mad2. We demonstrate that Cryptococcus mad1{Delta} or mad2{Delta} strains are unable to respond to microtubule perturbations, continuing to re-bud and divide, and die rapidly as a consequence. Fluorescent tagging of Chromosome 3, using a lacO array and mNeonGreen-lacI fusion protein, demonstrates that mad mutants are unable to maintain sister-chromatid cohesion in the absence of microtubule polymers. Thus, the classic checkpoint functions of the SAC are conserved in Cryptococcus. In interphase, GFP-Mad1 is enriched at the nuclear periphery, and it is recruited to unattached kinetochores in mitosis. Purification of GFP-Mad1 followed by mass spectrometric analysis of associated proteins show that that it forms a complex with Mad2 and that it interacts with other checkpoint signalling components (Bub1) and effectors (Cdc20 and APC/C sub-units) in mitosis. We also demonstrate that overexpression of Mps1 kinase is sufficient to arrest Cryptococcus cells in mitosis, and show that this arrest is dependent on both Mad1 and Mad2. We find that a C-terminal fragment of Mad1 is an effective in vitro substrate for Mps1 kinase and map several Mad1 phosphorylation sites. Some sites are highly conserved within the C-terminal Mad1 structure and we demonstrate that mutation of threonine 667 (T667A) leads to loss of checkpoint signalling and abrogation of the GAL-MPS1 arrest. Thus Mps1-dependent phosphorylation of C-terminal Mad1 residues is a critical step in Cryptococcus spindle checkpoint signalling. Finally, we analyse the phenotype of mad and mps1 mutants during titan cell generation: quantitating viability of titan cells and their daughters generated during the ensuing reductive division. The mad1{Delta}, mad2{Delta} and mps{Delta} mutants show significantly reduced viability: many titans are dead and others produce slow growing colonies. We propose that these Cryptococcus neoformans checkpoint proteins have important roles in ensuring high fidelity chromosome segregation during stressful conditions, such that those heightened during its polyploid infection cycle.

cell biology↗

Using rapid prototyping to choose a bioinformatics workflow management system

Workflow management systems represent, manage, and execute multi-step computational analyses and offer many benefits to bioinformaticians. They provide a common language for describing analysis workflows, contributing to reproducibility and to building libraries of reusable components. They can support both incremental build and re-entrancy - the ability to selectively re-execute parts of a workflow in the presence of additional inputs or changes in configuration and to resume execution from where a workflow previously stopped. Many workflow management systems enhance portability by supporting the use of containers, high-performance computing systems and clouds. Most importantly, workflow management systems allow bioinformaticians to delegate how their workflows are run to the workflow management system and its developers. This frees the bioinformaticians to focus on the content of these workflows, their data analyses, and their science. RiboViz is a package to extract biological insight from ribosome profiling data to help advance understanding of protein synthesis. At the heart of RiboViz is an analysis workflow, implemented in a Python script. To conform to best practices for scientific computing which recommend the use of build tools to automate workflows and to re-use code instead of rewriting it, the authors reimplemented this workflow within a workflow management system. To select a workflow management system, a rapid survey of available systems was undertaken, and candidates were shortlisted: Snakemake, cwltool and Toil (implementations of the Common Workflow Language) and Nextflow. An evaluation of each candidate, via rapid prototyping of a subset of the RiboViz workflow, was performed and Nextflow was chosen. The selection process took 10 person-days, a small cost for the assurance that Nextflow best satisfied the authors requirements. This use of rapid prototyping can offer a low-cost way of making a more informed selection of software to use within projects, rather than relying solely upon reviews and recommendations by others. Author summaryData analysis involves many steps, as data are wrangled, processed, and analysed using a succession of unrelated software packages. Running all the right steps, in the right order, with the right outputs in the right places is a major source of frustration. Workflow management systems require that each data analysis step be "wrapped" in a structured way, describing its inputs, parameters, and outputs. By writing these wrappers the scientist can focus on the meaning of each step, which is the interesting part. The system uses these wrappers to decide what steps to run and how to run these, and takes charge of running the steps, including reporting on errors. This makes it much easier to repeatedly run the analysis and to run it transparently upon different computers. To select a workflow management system, we surveyed available tools and selected three for "rapid prototype" implementations to evaluate their suitability for our project. We advocate this rapid prototyping as a low-cost (both time and effort) way of making an informed selection of a system for use within a project. We conclude that many similar multi-step data analysis workflows can be rewritten in a workflow management system.

bioinformatics↗

Sleep and Diurnal Rest-Activity Rhythm Disturbances in a Mouse Model of Alzheimer's Disease

Study ObjectivesAccumulating evidence suggests a strong association between sleep, amyloid-beta (A{beta}) deposition, and Alzheimers disease (AD). We sought to determine if: (1) deficits in rest-activity rhythms and sleep are significant phenotypes in J20 AD mice, (2) metabotropic glutamate receptor 5 inhibitors (mGluR5) could rescue deficits in rest-activity rhythms and sleep, and (3) A{beta} levels are responsive to treatment with mGluR5 inhibitors. MethodsDiurnal rest-activity levels were measured by actigraphy and sleep-wake patterns by electroencephalography (EEG), while animals were chronically treated with mGluR5 inhibitors. Behavioral tests were performed, and A{beta} levels measured in brain lysates. ResultsJ20 mice exhibited a 4.5 hour delay in the acrophase of activity levels compared to wild-type littermates, and spent less time in REM sleep during the second half of the light period. J20 mice also exhibited decreased NREM delta power but increased NREM sigma power. The mGluR5 inhibitor CTEP rescued the REM sleep deficit and improved NREM delta and sigma power but did not correct rest-activity rhythms. No statistically significant differences were observed in A{beta} levels, rotarod performance or the passive avoidance task following chronic mGluR5 inhibitor treatment. ConclusionsJ20 mice have disruptions in rest-activity rhythms and reduced homeostatic sleep pressure (reduced NREM delta power). NREM delta power was increased following treatment with an mGluR5 inhibitor. Drug bioavailability was poor. Further work is necessary to determine if mGluR5 is a viable target for treating sleep phenotypes in AD. Statement of SignificanceSleep disruption is evolving as an important risk factor as well as phenotype of neurological diseases including Alzheimers disease. This study is novel in determining alterations in the rest-activity rhythm and sleep-wake pattern of J20 Alzheimers disease mice and wild type littermates. Specifically, there is a delay in acrophase with prolonged hyperactivity during the dark cycle, and reduced sleep pressure that was improved by treatment with mGluR5 inhibitor. Critical remaining knowledge gaps and future directions include testing the effects of Alzheimers disease drugs on rescue of sleep and rest-activity patterns in other Alzheimers disease models. These studies are relevant to human Alzheimers disease as monitoring sleep phenotypes may predict disease risk, and therapies that normalize sleep patterns may slow progression.

neuroscience↗

A Systems Approach Identifies Enhancer of Zeste Homolog 2 (EZH2) as a Protective Factor in Epilepsy

Complex neurological conditions can give rise to large scale transcriptomic changes that drive disease progression. It is likely that alterations in one or a few transcription factors or cofactors underlie these transcriptomic alterations. Identifying the driving transcription factors/cofactors is a non-trivial problem and a limiting step in the understanding of neurological disorders. Epilepsy has a prevalence of 1% and is the fourth most common neurological disorder. While a number of anti-seizure drugs exist to treat seizures symptomatically, none is curative or preventive. This reflects a lack of understanding of disease progression. We used a novel systems approach to mine transcriptome profiles of rodent and human epileptic brain samples to identify regulators of transcriptional networks in the epileptic brain. We find that Enhancer of Zeste Homolog 2 (EZH2) regulates differentially expressed genes in epilepsy across multiple rodent models of acquired epilepsy. EZH2 undergoes a prolonged upregulation in the epileptic brain. A transient inhibition of EZH2 immediately after seizure induction robustly increases spontaneous seizure burden weeks later. Thus, EZH2 upregulation is a protective response mounted after a seizure. These findings are the first to characterize a role for EZH2 in opposing epileptogenesis and debut a bioinformatic approach to identify nuclear drivers of complex transcriptional changes in disease.\n\nAuthor SummaryEpilepsy is the fourth most common neurological disorder and has been described since the time of Hippocrates. Despite this, no treatments exist to stop epilepsy progression. This is fundamentally due to the complex nature of the disease. Epilepsy is associated with hundreds if not thousands of gene expression changes in the brain that are likely driven by a few key master regulators called transcription factors and cofactors. Finding the aberrantly acting factors is a complex problem that currently lacks a satisfactory solution. We used a novel datamining tool to define key master regulators of gene expression changes across multiple epilepsy models and patient samples. We find that a nuclear enzyme, EZH2, regulates a large number of genes in the rodent and patient epileptic brain and that its function is protective. Thus, inhibiting EZH2 greatly exacerbates seizure burden. This is the first report of a novel datamining tool to define drivers of large-scale gene changes and is also the first report of EZH2 induction as an endogenous protective response in the epilepsy.

neuroscience↗

Structural basis of recruitment of RBM39 to DCAF15 by a sulfonamide molecular glue E7820

E7820 and indisulam are two examples of aryl sulfonamides that recruit RBM39 to Rbx-Cul4-DDA1-DDB1-DCAF15 E3 ligase complex, leading to its ubiquitination and degradation by the proteasome. In order to understand their mechanism of action, we carried out kinetic analysis on the recruitment of RBM39 to DCAF15 and solved a crystal structure of DDA1-DDB1-DCAF15 in complex with E7820 and the RRM2 domain of RBM39. E7820 packs in a shallow pocket on the surface of DCAF15 and the resulting modified interface binds RBM39 through the 1 helix of RRM2 domain. Our kinetic studies revealed that aryl sulfonamide and RBM39 bind to DCAF15 in a synergistic manner. The structural and kinetic studies confirm aryl sulfonamides as molecular glues in the recruitment of RBM39 and provide a framework for future efforts to utilize DCAF15 to degrade other protein of interests.

biophysics↗

Enhanced cytokine responsiveness in natural killer cells from a pilot cohort of uninfected seronegative women exposed to hepatitis C virus contaminated anti-D immunoglobulin

BackgroundSome people exposed to hepatitis C virus (HCV) appear to be capable of preventing infection in the absence of detectable antibody responses. These exposed seronegative (ESN) people appear naturally resistant to HCV infection. Here, we aimed to examine innate immune mechanisms in ESN individuals amongst rhesus negative Irish women exposed to HCV via contaminated anti-D immunoglobulin between 1977-79 and 1991-94.\n\nMethodsA total of 16 ESN individuals were recruited, along with 9 age- and gender-matched healthy controls. All tested negative for HCV-specific antibodies using conventional diagnostic assays. Peripheral blood cells were analysed for presence of adaptive immune response markers, innate immune responsiveness and natural killer cell phenotype and function.\n\nResultsThe innate immune cell profile of ESN women in the present study was characterised by a significant decrease in monocyte frequency and elevated levels of interleukin-8 and -18 compared to age- and gender-matched healthy controls. NK cells from ESN women had normal expression of NK cell receptors but increased IFN{gamma}-production upon cytokine and target cell stimulation as well as enhanced natural killer (NK) cell STAT3 phosphorylation in response to Type I IFN.\n\nConclusionsWe describe for the first time ESN individuals amongst Irish women with past exposure to HCV via contaminated anti-D immunoglobulin. NK cells from these ESN individuals are more responsive to cytokine signalling compared with age- and gender-matched controls. Human ESN cohorts can provide unique insights into the biological mechanisms associated with antigen-independent natural resistance to viral infection.

immunology↗

Extremely fast and incredibly close: co-transcriptional splicing in budding yeast

RNA splicing, an essential part of eukaryotic pre-messenger RNA processing, can be simultaneous with transcription by RNA polymerase II. Here, we compare and review independent next-generation sequencing methods that quantify co-transcriptional splicing in budding yeast. Splicing in yeast is fast, taking place within seconds of intron transcription, while polymerase is within a few dozens of nucleotides of the 3 splice site. Ribosomal protein mRNAs are spliced particularly fast and co-transcriptionally. Intron-mediated regulation of some genes is also likely to be co-transcriptional. We suggest that intermediates of the splicing reaction, missing from current datasets, may hold key information about splicing kinetics.\n\nTrendsO_LIIndependent next-generation sequencing methods quantify co-transcriptional splicing in budding yeast\nC_LIO_LIRibosomal protein mRNAs are spliced particularly fast and co-transcriptionally\nC_LIO_LIIntron-mediated regulation of DBP2 and RPS9A is likely co-transcriptional\nC_LIO_LISplicing intermediates, missing from current datasets, may hold key information\nC_LI

biochemistry↗